Agno
Build, run, and manage agent platforms. observed · 2026-08-28
Health v2 · maintenance only
95/100
- Activity 99
- Release rhythm 87
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 1.0
- age_days: 1582
- days_rel: 7
- days_push: 7
- n_releases_24m: 221
Adoption not part of the score
41938 stars · 5830 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Agno is a Python SDK and runtime (AgentOS) for building, running, and managing full agent platforms, including agents, teams, and workflows with memory, knowledge, and 100+ tool integrations. It serves agents as REST/SSE APIs and MCP servers via FastAPI, with a web control plane for tracing, evals, sessions, and governance.
Use cases
- build a multi-agent AI platform in python
- serve llm agents as a REST API
- add memory and knowledge to my chatbot
- run an MCP server for my agents
- trace and debug agent tool calls
- evaluate agent quality in CI
- self-host an agent runtime with RBAC
When to choose
- you want an end-to-end agent platform with runtime, storage, and observability in one stack
- you need production features like sessions, tracing, evals, guardrails, and scheduling
- you want to self-host and own your agent data and security posture
- you need multi-interface serving (REST, SSE, MCP, Slack/Telegram) from one agent definition
When to avoid
- you only need a thin LLM client or simple prompt chaining without a runtime
- you are locked into a managed agent cloud and don't want to operate infrastructure
- your stack is not Python
- you need a minimal library with no control plane or platform opinions
Facets
framework · maturity active
agent-framework llm-inference rag mcp chatbot web-framework monitoring tracing testing sdk large-language-models artificial-intelligence developer-tools backend apis python self-hosted cross-platform agent-platform agentos multi-agent fastapi control-plane agent-evals tool-integrations jwt-rbac ai-agents docker
10 sources
- readme: https://github.com/agno-agi/agno · fetched 2026-08-28 · 65a38125f2be
- homepage: https://docs.agno.com · fetched 2026-08-29 · 5897770c70e8
- site_page: https://docs.agno.com/faq/environment-variables · fetched 2026-08-29 · 35d6006d7eaa
- site_page: https://docs.agno.com/features/sdk · fetched 2026-08-29 · a4cbf36d3059
- site_page: https://docs.agno.com/features/runtime · fetched 2026-08-29 · e42c7ddd34f6
- site_page: https://docs.agno.com/features/control-plane · fetched 2026-08-29 · 777031e40c02
- site_page: https://docs.agno.com/features/api · fetched 2026-08-29 · b15724b412e1
- site_page: https://docs.agno.com/features/storage · fetched 2026-08-29 · 3f9a6f6b7266
- site_page: https://docs.agno.com/features/observability · fetched 2026-08-29 · 7cda051475a8
- site_page: https://docs.agno.com/features/evaluation · fetched 2026-08-29 · 370f4e13ee72
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| agno-agi/agno | main | 95 |
| agno-agi/dash | examples | 56 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem